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Mendeley readers
Title |
Spectroscopic Techniques & Artificial Intelligence for Food and Beverage Analysis
|
---|---|
Published by |
Springer Singapore, October 2020
|
DOI | 10.1007/978-981-15-6495-6 |
ISBNs |
978-9-81-156494-9, 978-9-81-156495-6
|
Editors |
Shukla, Ashutosh Kumar |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 18% |
Student > Bachelor | 4 | 14% |
Student > Master | 3 | 11% |
Lecturer > Senior Lecturer | 1 | 4% |
Unspecified | 1 | 4% |
Other | 3 | 11% |
Unknown | 11 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 14% |
Chemical Engineering | 2 | 7% |
Engineering | 2 | 7% |
Computer Science | 2 | 7% |
Unspecified | 1 | 4% |
Other | 7 | 25% |
Unknown | 10 | 36% |